Ithy is a research platform that aggregates responses from multiple leading language models and merges them into a single, more accurate answer. The unified output is presented as an interactive multimodal article with charts, video, and other elements, enabling researchers and knowledge workers to obtain comprehensive insights quickly.
Funding
Funding not disclosed
Founders
Product
Problem
Users seeking detailed answers must query multiple AI models separately, leading to fragmented information, inconsistent accuracy, and time-consuming manual synthesis.
Solution
Ithy provides a research platform that automatically aggregates and merges responses from a range of leading language models into a single, cohesive answer. By leveraging the strengths of each engine, the system produces more accurate and deeper results than any single model. The combined output is presented as an interactive, multimodal article that can include charts, videos, and interactive elements, enabling users to explore information in a richer format.
Target Audience
Primary users are researchers, analysts, and knowledge workers who require comprehensive, high‑quality answers quickly, as well as developers building AI‑enhanced applications that need reliable multi‑model insights.
Features
- Real-time integration of multiple top-tier language models (e.g., DeepSeek V3.1, OpenAI, Google) to generate unified responses
- Proprietary merging algorithm that selects and synthesizes the most relevant content for higher accuracy
- Interactive multimodal article generation with embedded charts, buttons, and video playback
- Automatic benchmarking against GPQA, consistently achieving the highest score among competing AI services
- Simple web interface allowing users to ask any question without needing to select individual models